Tech Lead - Data Platform & Inference Engineering

Catalyst Labs; Connecticut; Hybrid; USD 120,000 - 180,000; Full time

Job summary

A data solutions company is looking for a Tech Lead, Data & Inference Engineer to lead the development of data platforms from ingestion to insights. You'll need to ensure reliability and uptime while mentoring engineers and maintaining scalable data pipelines. The ideal candidate has 6 to 12 years of experience in data systems and a strong background in SQL and Python, with familiarity in modern data technologies. The role offers a full-time position in a hybrid working environment.

Qualifications

• 6 to 12 years of experience building and scaling production‑grade data systems.
• Deep expertise in data architecture, modeling, and pipeline design.
• Hands‑on experience with distributed data technologies.
• Exposure to cloud infrastructure.

Responsibilities

• Lead the design and development of an end-to-end data platform.
• Build and maintain scalable batch and streaming pipelines.
• Take ownership of reliability and service-level objectives.
• Mentor engineers and promote data-driven best practices.

Skills

Excellent written and verbal communication

Proactive and collaborative mindset

Strong ownership and accountability

Demonstrated ability to teach and mentor

Education

Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or Mathematics

Tools

SQL

Python

Spark

Flink

Kafka

Airflow

Kubernetes

AWS

GCP

Azure

Job description

A data solutions company is looking for a Tech Lead, Data & Inference Engineer to lead the development of data platforms from ingestion to insights. You'll need to ensure reliability and uptime while mentoring engineers and maintaining scalable data pipelines. The ideal candidate has 6 to 12 years of experience in data systems and a strong background in SQL and Python, with familiarity in modern data technologies. The role offers a full-time position in a hybrid working environment.